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Emmanuel Tsukerman
Emmanuel graduated from Stanford University. In 2017, his ML-based anti-ransomware product was awarded Top 10 Ransomware Products of 2018 by PC Magazine. In 2018, he designed an ML-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers). In 2019, Emmanuel authored the Machine Learning for Cybersecurity Cookbook and launched the Cybersecurity Data Science Course on Udemy.
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Druce Vertes
Druce has a career that spans decades, and during that time he's worn many hats. Recently, he's been consulting on projects involving machine learning, alternative data, predictive analytics (Python, Sklearn, Keras, and TensorFlow). He's also worked as a quantitative analyst, IT manager, and developer with leading hedge funds and Wall Street firms and even served for three years a the CTO of a $2 billion long/short-equity hedge fund.
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Yuxiang Bao
Having studied advanced machine learning (ML) theory for the past three years, it’s safe to say Yuxiang knows ML quite well and he's delivered multiple projects using cutting-edge ML algorithms and tools. While at school, he also spent two years researching NLP. With a solid knowledge base in ML and NLP, hands-on experience, and exemplary communication skills—both written and verbal—Yuxiang will add value to your project.
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Sabina Meric
Sabina is an experienced data scientist and team lead with a history working in the financial, entertainment, and travel industry. She is very passionate about knowledge expansion and is gaining more experience in machine learning, neural networks, and behavioral analytics.
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Ioannis Melas
Ioannis is a data scientist with expertise in prototyping, developing, and deploying data science and ML workflows that best leverage business data. This includes exploratory analysis such as dimensionality reduction, clustering, feature extraction, model fit/parameter estimation, and supervised analysis such as classification and regression. Ioannis is an expert in structured and unstructured data (NLP). Some of his notable clients include the U.S. Food & Drug Administration and AstraZeneca.
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Dragos Tudor
Dragos is a technical leader who touched the lives of 1.5 million users and generated $50 million in business value by building and deploying machine learning implementations for international enterprises, SMEs, and startups. Dragos has worked across the entire engineering pipeline with both executives and data scientists, building production-ready recommender systems, advanced NLP models, time-series forecasting data products and classifiers, and other custom advanced analytics capabilities.
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Ivan Lorencin
Ivan is a dedicated Python and AI developer with a PhD in computer vision. He is a professor at the Juraj Dobrila University of Pula and a partner at dAIgnostics. His experience includes leading research projects, creating generative models for query ranking, database searching, and video transcription/summarization for leading DMC and employment agencies. These solutions have increased process efficiency, highlighting Ivan's innovation in generative AI and AI-driven tech solutions.
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Artem Kondyukov
Artem has a wide range of interests, mainly in the realm of machine learning applications for computer vision. He has been developing pipelines for computer-aided diagnosis systems (CNN, Python and Keras, NumPy, TensorFlow). He has experience in client-server applications for laser shooting galleries (C++ and Qt). He has developed a couple of simple web services (Python and Django, Scala and Play.)
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Alexandra Soroka
Alexandra's always wanted to work with mathematics and language, so she sought out an education that combined programming and linguistics—and has been quite successful. She has about five years of NLP experience at Yandex, a major Russian search engine, and two years at smaller companies plus freelancing. Most of her projects involve entity recognition, but she’s also ranked search results, generated query expansions, and done text summarization.
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Ilmira Terpugova
Ilmira is a data scientist with strong mathematical and programming background. She is hard-working, responsible and conscientiously follows deadlines. Ilmira produces valuable findings while also providing thorough, concise explanations and visualizations of the results.
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Rajeev Gupta
Rajeev is passionate about data and machine learning and has more than five years of experience in data science projects across numerous industries and applications. He's currently focused on cutting-edge technologies such as TensorFlow, Keras, deep learning, and most of the Python data science stack. Rajeev has used these skills to solve many real business problems in NLP, image processing, and time series domains.
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